公开(公告)号：US20230109692A1

公开(公告)日：2023-04-13

申请号：US17822722

申请日：2022-08-26

Applicant: Tata Consultancy Services Limited

Inventor： ANUMITA DASGUPTA ,  INDRAJIT BHATTACHARYA ,  GIRISH KESHAV PALSHIKAR ,  PRATIK SAINI ,  SANGAMESHWAR SURYAKANT PATIL ,  SOHAM DATTA ,  PRABIR MALLICK ,  SAMIRAN PAL ,  SUNIL KUMAR KOPPARAPU ,  AISHWARYA CHHABRA ,  AVINASH KUMAR SINGH ,  KAUSTUV MUKHERJI ,  MEGHNA ABHISHEK PANDHARIPANDE ,  ANIKET PRAMANICK ,  ARPITA KUNDU ,  SUBHASISH GHOSH ,  CHANDRASEKHAR ANANTARAM ,  ANAND SIVASUBRAMANIAM ,  GAUTAM SHROFF

IPC: G06Q10/10 ,  G06Q10/06 ,  H04L12/18

Abstract: This disclosure relates generally to method and system for providing assistance to interviewers. Technical interviewing is immensely important for enterprise but requires significant domain expertise and investment of time. The present disclosure aids assists interviewers with a framework via an interview assistant bot. The method initiates an interview session for a job description by selecting a set of qualified candidates resume to be interviewed. Further, the IA bot recommends each interviewer with a set of question and reference answer pairs prior initiating the interview. At each interview step, the IA bot records interview history and recommends interviewer with the revised set of questions. Further, an assessment score is determined for the candidate using the reference answer extracted from a resource corpus. Additionally, statistics about the interview process is generated, such as number and nature of questions asked, and its variation across to identify outliers for corrective actions.

公开(公告)号：US20200096421A1

公开(公告)日：2020-03-26

申请号：US16578061

申请日：2019-09-20

Applicant: Tata Consultancy Services Limited

Inventor： SRINARAYANA NAGARATHINAM ,  VENKATA RAMAKRISHNA P ,  ARUNCHANDAR VASAN ,  VENKATESH SARANGAN ,  ANAND SIVASUBRAMANIAM

IPC: G01M99/00

Abstract: Traditionally, benchmarking of asset performance involves comparing actual performance with ideal values that correspond to test conditions which may not be realized in practice leading to inappropriate ranking of the assets. Systems and methods of the present disclosure use condition-aware reference curves for estimating the maximum possible operating efficiencies (under specific operating conditions) instead of the theoretical maximum efficiencies. The reference curves are received from the manufacturer or obtained from on-site test results. Benchmarking is then performed based on two dimensions, viz., an inter-asset metric and an intra-asset metric that are analogous to the first law and second law of thermodynamics respectively. The two-dimensional benchmarking then helps in identifying inefficient assets that may be analyzed further for finding the root cause. Tracking the performance of assets over time greatly helps in operations and maintenance, and thus reducing downtime of systems and accordingly the operating costs.

公开(公告)号：US20170023992A1

公开(公告)日：2017-01-26

申请号：US15100209

申请日：2014-11-21

Applicant: Tata Consultancy Services Limited

Inventor： UMESH SINGH ,  HARSHAD GIRISH BHAGWAT ,  SANKARA NARAYANAN D ,  ARUN VARGHESE ,  AMARENDRA KUMAR SINGH ,  RAJESH JAYAPRAKASH ,  ANAND SIVASUBRAMANIAM

IPC: G06F1/20

CPC classification number: G06F1/20 ,  G05B2219/50333 ,  G06F11/00 ,  G06F17/5009 ,  G06F2217/80

Abstract: Disclosed is a system and method for facilitating optimizing cooling efficiency of a data center. The method may comprise receiving a layout of the data center. The method may comprise computing co-ordinates of each equipment of a plurality of equipments associated with the data center. Further, the method may comprise segregating the layout into a plurality of cells. The method may comprise capturing preliminary data associated with the data center. Further, the method may comprise determining a state value of the data center based upon the preliminary data. The method may comprise capturing CFD data and, selectively, thermal assessment data. Further, the method may comprise facilitating the optimization of the cooling efficiency of the data center by using an external analysis tool capable of performing Computational Fluid Dynamics (CFD) analysis or thermal assessment followed by the Computational Fluid Dynamics (CFD) analysis using the CFD data and the thermal assessment data.

Abstract translation: 公开了一种有利于优化数据中心的冷却效率的系统和方法。 该方法可以包括接收数据中心的布局。 该方法可以包括与数据中心相关联的多个设备的每个设备的坐标。 此外，该方法可以包括将布局分离成多个单元。 该方法可以包括捕获与数据中心相关联的初始数据。 此外，该方法可以包括基于初步数据确定数据中心的状态值。 该方法可以包括捕获CFD数据和选择性地热评估数据。 此外，该方法可以包括通过使用能够执行计算流体力学（CFD）分析或热评估的外部分析工具来促进数据中心的冷却效率的优化，随后使用CFD数据进行计算流体力学（CFD）分析 和热评估数据。